1 / 10

ADSP Final Project

ADSP Final Project. 2005/12/7. Option1: Channel Equalizer. In frequency domain. Channel H. S. +. R=S*H+N. N. Simplified Receiver. Frequency domain signal (corrupted). R ( k ) = S ( k ) *H ( k ) + N ( k ). FFT. Equalizer. 16QAM De-mapping. Channel Estimator (interpolation).

nelly
Download Presentation

ADSP Final Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. ADSP Final Project 2005/12/7

  2. Option1: Channel Equalizer In frequency domain Channel H S + R=S*H+N N

  3. Simplified Receiver Frequency domain signal (corrupted) R(k) = S(k)*H(k) + N(k) FFT Equalizer 16QAM De-mapping Channel Estimator (interpolation) H(l), l=8k K= 0~1023 Frequency Each pilot tone carries the known symbol 1.0 Pilot location: 8k

  4. Channel Estimator - Interpolation K= 0~1023 Frequency Each pilot tone carries the known symbol 1.0 Pilot location: 8k

  5. Equalizer • Simplest approach

  6. 16QAM Mapping Normalization (for unity power)

  7. Requirement • Please design these blocks • 1024 FFT • interpolating filter • equalizer • signal de-mapping • Fixed-point representation • How is the word-length determined? • Evaluation • MSE of channel estimates and bit error rate (BER) • Input pattern will be given one week before demonstration.

  8. Option 2: Noise Cancellation • Extract the speech signal which is contaminated by background noise and interference • Adaptive filtering Speech waveform Filter Coefficient Generation

  9. Requirement • Fixed-point representation • Evaluation • Peak signal to noise ratio (PSNR) • Clearness • Input pattern will be given before 12/14

  10. Notice • Please hand in a report (less than 4 pages) of your design and results. • The one, who did not do well in the midterm exam, will definitely be failed if he/she does not finish the project.

More Related